Amazon MemoryDB Provides Fastest Vector Search on AWS

With vector search for Amazon MemoryDB, generative AI use cases like Retrieval Augmented Generation (RAG), anomaly detection, document retrieval, and real-time recommendation engines are implemented with existing MemoryDB API.

Developers can store vector embeddings generated by AI/ML services like Amazon Bedrock and SageMaker within MemoryDB for semantic search, durable semantic caching, and anomaly detection.

Read at InfoQ